/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.sql.execution.datasources.csv

import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.sources._
import org.apache.spark.sql.types.StructType

/**
  * Provides access to CSV data from pure SQL statements.
  */
class DefaultSource extends HadoopFsRelationProvider with DataSourceRegister {

  override def shortName(): String = "csv"

  /**
    * Creates a new relation for data store in CSV given parameters and user supported schema.
    */
  override def createRelation(
      sqlContext: SQLContext,
      paths: Array[String],
      dataSchema: Option[StructType],
      partitionColumns: Option[StructType],
      parameters: Map[String, String]): HadoopFsRelation = {

    new CSVRelation(
      None,
      paths,
      dataSchema,
      partitionColumns,
      parameters)(sqlContext)
  }
}
